SuSy-EnGaD: Surveillance System Enhanced by Games of Drones

SuSy-EnGaD: Surveillance System Enhanced by Games of Drones

In this article, we propose SuSy-EnGaD, a surveillance system enhanced by games of drones. We propose three different approaches to optimise a swarm of UAVs for improving intruder detection, two of them featuring a multi-objective optimisation approach, while the third approach relates to the evolut...

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Bibliographic Details
Published in:Drones (Basel) Vol. 6; no. 1; p. 13
Main Authors: Stolfi, Daniel H., Brust, Matthias R., Danoy, Grégoire, Bouvry, Pascal
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-01-2022
Subjects:
Case studies
Cooperation
Drones
Energy efficiency
evolutionary algorithm
evolutionary game theory
Game theory
Genetic algorithms
multi-objective optimisation
Multiple objective analysis
Pareto optimization
Pheromones
Planning
Simulation
Surveillance
surveillance system
swarm robotics
unmanned aerial vehicle
Unmanned aerial vehicles
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Summary:In this article, we propose SuSy-EnGaD, a surveillance system enhanced by games of drones. We propose three different approaches to optimise a swarm of UAVs for improving intruder detection, two of them featuring a multi-objective optimisation approach, while the third approach relates to the evolutionary game theory where three different strategies based on games are proposed. We test our system on four different case studies, analyse the results presented as Pareto fronts in terms of flying time and area coverage, and compare them with the single-objective optimisation results from games. Finally, an analysis of the UAVs trajectories is performed to help understand the results achieved.
ISSN:2504-446X
2504-446X
DOI:10.3390/drones6010013